Comparison of methodologies for automatic generation of limits and drainage networks for hidrographic basins

Alcaraz, Samantha; Sannier, Christophe; Vitorino, Antônio Carlos Tadeu; Daniel, Omar

doi:10.1590/s1415-43662009000400001

Cited by 11 publications

(8 citation statements)

References 11 publications

(10 reference statements)

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“…Os resultados da delimitação automática de uma bacia hidrográfica podem diferir significativamente dependendo das características do MDE, como escala, resolução, origem (interpolação espacial ou imagem de radar e o método de interpolação usado (REDIVO et al, 2002;ALCARAZ et al, 2009;MEDEIROS;FERREIRA, 2009;SEYLER et al, 2009;LI;WONG, 2010).…”

Section: Introductionunclassified

Delimitação de bacia hidrográfica em região montanhosa a partir de diferentes modelos digitais de elevação

et al. 2013

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ResumoA correta delimitação dos divisores de água da uma bacia hidrográfica é de grande importância para estudos ligados à modelagem hidrológica e ambiental. Tal procedimento é realizado de forma automática em aplicativos computacionais de Sistemas de Informações Geográficas, por meio de algoritmos que identificam os divisores de águas a partir de uma representação matricial da topografia do terreno, denominada Modelo Digital de Elevação (MDE). O presente trabalho avaliou a delimitação automática de uma bacia hidrográfica situada em região montanhosa do Sul do Estado do Espírito Santo (Brasil) feita a partir de seis diferentes MDEs: três MDEs originários de imagem de radar (SRTM) e seus refinamentos, além de três MDEs originários de processos de interpolação espacial de curvas de nível por meio de diferentes formas de interpolação. Verificou-se que o MDE gerado a partir das curvas de nível e da hidrografia mapeada utilizando o interpolador Topo To Raster apresentou o melhor desempenho de representação do relevo da bacia para fins de delimitação da bacia hidrográfica analisada. Palavras-chave: Modelagem hidrológica, sistemas de informação geográfica, interpolação AbstractThe precise delineation of watersheds is essential to studies related to environmental and hydrologic modeling. Such delineation is performed automatically in GIS softwares using algorithms that identify the watershed from grid representation of the terrain, the digital elevation model (DEM). This study evaluated the automatic delineation of a watershed located in the southern mountainous region of Espirito Santo (Brazil) using six different DEMs. Three MDEs were obtained by radar images (SRTM) and its refinements. Other three MDEs were obtained by process spatial interpolation of topographic data using different interpolators. It was found that the MDE obtained by the interpolation of topographic data using Top To Raster interpolator, (taking mapped hydrography as support) promoted the best representation of the watershed topography for the purpose of its delimitation.

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Section: Introductionunclassified

Delimitação de bacia hidrográfica em região montanhosa a partir de diferentes modelos digitais de elevação

et al. 2013

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“…This is not compatible with SRTM-O, SRTM-RT, and CT-RT DEMs on the delineation of the basin are mainly associated with a deviation of the main water course, the Peixe River, to a nearby basin with consequent generation of a mouth entirely off the actual location, as can be seen in Figures 2B, 2C and 2E. Alcaraz et al (2009) also had problems similar to those of the study to delineate a watershed with greater variation of reliefs with the SRTM DEM, which led to an error of joining in the drainage network and generation of the mouth outside of location, greatly increasing the drainage area of the basin.…”

Section: Resultsmentioning

confidence: 74%

“…The quality of the DEMs is fundamental to the success of hydrological studies, especially when it comes to modeling (Chaplot et al, 2006), because depending on the characteristics of the DEM (scale, resolution and origin), the automatic delineation of a basin and, consequently, its morphometric characteristics, may differ significantly (Pires et al, 2005;Alcaraz et al, 2009;Seyler et al, 2009;Cecílio et al, 2013). Thus, several studies have been conducted to analyze, compare and update the information on the earth's surface, obtained by means of Rev.…”

Section: Introductionmentioning

confidence: 99%

Assessment of digital elevation models to obtain morphometric characteristics in relief transition region

Ficher¹,

Pereira²,

Oliveira³

et al. 2019

Rev. ambiente água

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The purpose of this study was to evaluate the performance of Digital Elevation Models (DEMs) in the morphometric characterization of a basin located in a transitional region between the São Francisco Plateau, São Francisco Depression and Espinhaço Range reliefs. For the study, four DEMs were generated by interpolation of the SRTM data and topographic maps, using the Topo To Raster interpolator with and without mapped hydrography support, available in ArcGIS ® 9.3 software. Another DEM was obtained from the SRTM original data. From the generated DEMs, the morphometric characteristics of the basin were determined and compared to those obtained from topographic maps, denominated reference (REF), by means of percentage errors. The evaluation was also performed in a qualitative way, comparing the drainage and the basin delineations. In general, the DEMs obtained with the support of the mapped hydrography (SRTM-TRH and CT-TRH) provided the best results, with small errors, mainly for the main morphometric characteristics of the basin, drainage area and main river length, which ranged from 0.38 to 1.12% and 5.28 to 7.07%, respectively. On the other hand, the DEMs generated without the support of the mapped hydrography (SRTM-O, SRTM-TR and CT-TR) presented major errors mainly in determining the drainage area and length of the main river, which varied from 18.1 to 26.6% and 26.7 to 34.4%, respectively. These occurred due to a deviation of the main river in the São Franciscana Depression region, which allows us to conclude on the necessity and importance of evaluating DEMs before their use.

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“…No entanto, segundo Oliveira et al (2010) o SRTM permite a caracterização morfométrica de bacias hidrográficas podendo auxiliar a gestão e o gerenciamento de recursos hídricos, porém Alcaraz et al (2009) concluem que o uso de dados SRTM depende dos objetivos e da escala de trabalho.…”

Section: Figura 5 Dados Resultantes Da Classificação Semissupervisiounclassified

Mapeamento de áreas aluvionares no semiárido brasileiro por meio de dados colaterais e imagens orbitais

Lopes

Cabral²,

Filho

et al. 2013

Rev. bras. eng. agríc. ambient.

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RESUMOA região semiárida do Brasil possui grande potencial para armazenamento de água em áreas aluvionares, podendo potencializar a pequena agricultura. Verifica-se a necessidade de uma metodologia para mapeamento dessas áreas, com o objetivo de futuros estudos in loco para implantação de barragens subterrâneas e manejo correto dos solos aluvionares. Neste sentido, objetivou-se a aplicação de imagens Landsat-Mapeador Temático 5 em conjunto com dados colaterais, como a rede de drenagem, mapa de classes de solo e mapa de relevo para auxiliar na classificação de terraços aluviais. Teve-se, como área de estudo, a bacia do Rio Pajeú, no sertão do estado de Pernambuco. Buscou-se também, por meio de dados SRTM (Shuttle Radar Topography Mission), a avaliação topográfica das áreas classificadas. Verifica-se que a utilização única de dados orbitais traz classificação incongruente mas com a inserção de dados colaterais é possível obter melhores resultados na classificação. A rede de drenagem é fundamental no mascaramento de classificações espúrias. Quando procede à análise topográfica por meio de dados do SRTM das áreas classificadas como terraços aluvionares, observa-se a inconsistência desses dados. Palavras-chave: solos aluviais, classificação supervisionada, sensoriamento remoto, relevoMapping alluvial areas in semi-arid region of Brazil through collateral data and satellite images ABSTRACT The semi-arid region of Brazil has great potential for storing water in alluvial areas, and may give support to small-scale family farming. There is a need to establish a methodology for mapping these areas with the objective of future studies to implement underground dams and suitable management of the soils that occur on alluvial terraces. In this way, the aim of this study was to apply Landsat-Thematic Mapper images together with collateral data such as the drainage network, map of soil classes and elevation data to assist in the classification of alluvial terraces. The study area was Pajeú River basin located in the 'Caatinga' ecosystem of the Pernambuco state. Topographic assessment of the alluvial areas was done by using SRTM (Shuttle Radar Topography Mission) data. It was found that the single use of orbital data brings incongruous classification, but with the inclusion of collateral data it was possible to obtain better results in classification. The drainage network was also important in masking the spurious classification. The analysis of the topography of the classified areas was inadequate using SRTM data.

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Comparison of methodologies for automatic generation of limits and drainage networks for hidrographic basins

Cited by 11 publications

References 11 publications

Delimitação de bacia hidrográfica em região montanhosa a partir de diferentes modelos digitais de elevação

Delimitação de bacia hidrográfica em região montanhosa a partir de diferentes modelos digitais de elevação

Assessment of digital elevation models to obtain morphometric characteristics in relief transition region

Mapeamento de áreas aluvionares no semiárido brasileiro por meio de dados colaterais e imagens orbitais

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